Assessment
AI Readiness & Governance Assessment
Ten questions. One score. Prioritized next steps tied to our Insights library.
1. Do you have a written AI use policy?
2. Is there an approved-tools list communicated to staff?
3. Is there a clear rule for what data (including PHI/PII) may go into AI tools?
4. Do you have visibility into which AI tools employees actually use (shadow AI)?
5. Do you review AI features embedded in your vendor/SaaS tools?
6. Are access controls / least privilege applied to AI systems and agents?
7. Is AI usage logged / auditable?
8. Have employees had AI-use training?
9. Is there an AI-specific incident response plan?
10. Is there a named owner accountable for AI (executive or fractional)?
AI readiness score
0
Ad hoc
Answer all 10 remaining questions to finalize your assessment.
How this is calculated
Score = sum of answers (No = 0, Partial = 0.5, Yes = 1) ÷ 10 × 100. Tiers: Ad hoc (≤40), Developing (≤70), Managed (≤90), Leading (>90). Unanswered questions count as 0 until you select an option.
Combine results across tools in the Business Impact Center.
Want a full AI governance assessment? That's exactly what we do.
Request an AI governance assessmentAI adoption is moving faster than most governance programs. Employees are already using generative tools — with or without a policy — and vendors are embedding AI into the SaaS stack you rely on every day.
This assessment scores ten governance fundamentals: written policy, approved tools, data rules, shadow-AI visibility, vendor review, access controls, logging, training, incident response, and executive ownership. Answer honestly — partial credit counts.
Your lowest-scoring areas become prioritized recommendations with links to practical guidance from our Insights blog. For a deeper review — especially in healthcare and financial services — talk to our team about a full AI governance assessment.